Factors affecting the selection of clothes on daily basis: male and female differences

The major objective of the study was to test the theories of the function of dress that individuals apply to everyday practice. The study examined the extent to which Maslow's theory of motivation is relevant to male and female practice regarding the selection of daily clothes, the order of importance and the attention to clothing functions demonstrated by males and females, and the inter-relationship between the different clothing functions. The study is based on data collected from male and female students at a midwestern university in the month of April. The Friedman two-way ANOVA by ranks revealed that weather function was the single most important clothing function for males which influenced the selection of daily clothing, while social activity was the most important clothing function which influenced females. Females indicated a higher degree of consideration of each clothing function than males. These findings suggest that females tend to dress more for social reasons, are more sensitive to clothing needs and possess a greater degree of clothing awareness than males. The correlation coefficients of clothing function for males and females indicated that there was a high degree of correlation between several clothing functions. The correlation coefficients of clothing functions for females were more consistent than those for males, indicating that females consistently consider several clothing functions concurrently while males do not. This finding conforms with the theory of functions of dress which illustrates the multiple nature of motivation of clothing behaviour and the interdependent characteristics of Maslow's five basic human needs.     

Influence of lifestyle and evaluative criteria for apparel on information search among non-employed female consumers

This study was designed to investigate the influence of lifestyle and apparel evaluative criteria on information search in apparel purchasing decisions among non-employed female consumers. A random sample of non-employed female consumers (n = 476) was collected via a self-administered questionnaire mailed across the nation. Principal Components Factor Analysis with Varimax Rotation was used to reduce the number of lifestyle, evaluative criteria, and information search activity items. As a result of Stepwise Multiple Regression Analyses, it was found that relationships existed among evaluative criteria, lifestyle, and informarion search patterns. Search profiles were developed to describe the four consumer information search patterns in terms of their lifestyle and evaluative criteria. Results will benefit consumers, marketers, and legislators because an understanding of consumer information seeking activities is essential in the design of efficient communication among these three groups.     

POLTICAL EFFICACY AND POLITICAL PARTICIPATION OF FAMILY-ORIENTED PROFESSIONALS*

Political activities of home economists were found to be markedly limited. Those who reported greater amounts of participation were characterized by strong feelings of political efficacy, backgrounds of family political involvement, greater amounts of community participation, and employment in colleges or universities. Respondents not presently employed, including students, homemakers and retired persons, appeared to be the least politically active group. Implications for the academic preparation of home economists are explored.     

Leaving Welfare: Independence or Continued Vulnerability?

Data from two semi‐structured interviews gathered approximately six months apart from seven women who were receiving cash welfare benefits at the time of the first interview and were not receiving benefits at the second interview were used to analyze the experiences of leaving welfare. Emergent themes about the post‐welfare experience are: (1) the low wages and lack of advancement opportunities in jobs, (2) confusion related to program administration, (3) the continued reliance on income support programs and kin, and (4) the banking of cash benefits under the five‐year time limit as a new safety net.     

The Effects of Cross-Sectional Scale Differences on Regression Results in Empirical Accounting Research*

Abstract. This study investigates coefficient bias and heteroscedasticity resulting from scale differences in accounting levels-based research designs analytically and using simulations based on accounting data. Findings indicate that including a scale proxy as an independent variable is more effective than deflation at mitigating coefficient bias, even if the proxy is 95 percent correlated with the true scale factor. In fact, deflation can worsen coefficient bias. Also, deflation often does not noticeably reduce heteroscedasticity and can decrease estimation efficiency. White (1980) standard errors are close to the true ones in regressions using undeflated variables. Replications of specifications in three recent accounting studies confirm the simulation findings. The findings suggest that when scale differences are of concern, accounting researchers should include a scale proxy as an independent variable and report inferences based on White standard errors. Résumé. Les auteurs examinent, tant sur le plan analytique qu'au moyen de simulations basées sur les données comptables, la distorsion des coefficients et l'hétéroscédasticité résultant des différences d'échelle dans les plans de recherche comptable basés sur les niveaux. Leurs constatations révèlent que l'inclusion d'un substitut d'échelle à titre de variable indépendante est plus efficace que la déflation pour atténuer la distorsion relative au coefficient, même si le substitut présente une corrélation de 95 pour cent avec le véritable facteur d'échelle. En fait, la déflation peut accentuer la distorsion relative au coefficient. Aussi, il arrive souvent que la déflation, sans réduire de façon appréciable l'hétéroscédasticité, puisse diminuer l'efficience de l'estimation. Les erreurs-types de White (1980) se rapprochent des erreurs véritables dans les régressions faisant appel à des variables non déflatées. La répétition des mêmes caractéristiques dans trois études comptables récentes confirme les résultats de la simulation. Les conclusions de l'étude donnent à penser que lorsque les différences d'échelle sont sujet de préoccupation, les chercheurs en comptabilité devraient faire intervenir un substitut d'échelle à titre de variable indépendante et formuler les inférences à partir des erreurs-types de White.